{"id":"W4247918913","doi":"10.2139/ssrn.3939144","title":"Non-Destructive Mechanical Assessment and Optimization of 3D Bioprinted Soft Tissue Scaffolds","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Soft tissue; Biomedical engineering; Tissue engineering; Forensic engineering; Engineering; Computer science; Construction engineering; Medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004958683,0.0005150754,0.0002579786,0.000427704,0.0002120272,0.0004479854,0.0002467445,0.0004938361,0.0007925991],"category_scores_gemma":[0.000467475,0.0002275136,0.0002584873,0.0002867669,0.0004076617,0.0002335699,0.0002718743,0.0003128731,0.0002066342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248254,"about_ca_system_score_gemma":0.0001614168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003381157,"about_ca_topic_score_gemma":0.001409288,"domain_scores_codex":[0.9994134,0.00005299528,0.00004427777,0.00009150059,0.0003498946,0.00004790501],"domain_scores_gemma":[0.9994774,0.0001899852,0.0001252024,0.0000554712,0.0001189283,0.00003303983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001498131,0.00001555022,0.00009735476,0.00002356686,0.00000223032,0.0000173183,0.00002800955,0.0004531162,0.9980844,0.00002551106,0.00001076094,0.001227105],"study_design_scores_gemma":[0.000002271506,0.0001157619,0.002672914,0.000003091536,0.00001034467,0.00004012661,0.00002876133,0.003663063,0.9930808,0.00002868482,0.0003457814,0.00000846018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768285,0.0008550698,0.01987241,0.00003263936,0.00003196163,0.00005125949,0.0002029219,0.0001252234,0.002000141],"genre_scores_gemma":[0.9775084,0.0004753369,0.01971103,0.00003004356,0.00001188335,0.0001052037,0.0001273454,0.00004324066,0.001987476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007925991,"threshold_uncertainty_score":0.002651513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007536025362130792,"score_gpt":0.2828103624534825,"score_spread":0.2752743370913517,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}